Image-to-Image Translation. Pix2Pix [1]} is a conditional GAN that uses Unet-based [2]} generator to translate paired images.
We evaluate pix2pix on the Cityscapes [3]} dataset, which contains 3475 German street scenes.
The images are resized to 256\(\times \) 256 for training.
We follow the work [4]} run the DRN-D-105 [5]} to calculate mean Intersection over Union (mIOU) for evaluating the quality of the generated images.
The higher score indicates the better the image generation performance.
In addition, we also conduct experiments on the unpaired dataset.
CycleGAN  [6]} leverages a ResNet [7]} generator to translates horse image into zebra image on the horse2zebra dataset extracted from ImageNet [8]}.
This dataset consists of 1,187 horse images and 1,474 zebra images, and all images are resized 256\(\times \) 256 for training.
We use FID to evaluate the quality of the generated images.
